% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39940 % Primary Name: RICE % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.21670 +/- 0.00005 % Longitude: -111.63330 +/- 0.00005 % Elevation (m): 1706.88 +/- 0.15 % # of Months: 98 % % Alternate Names: Missing Station ID - 107665 % % IDs: coop - 107665 % ghcnd - USC00107665 % ncdc - 12001645 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: aa6ad182c4d56b6ef52ee4055121aa7b % Raw Data Hash: df9e2c39aa704629f7b3ab60273ca1ca % Adj Data Hash: 04b14e0f0cc0126972d38df951bb6706 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1915 7 NaN NaN NaN NaN NaN NaN 14.298 -2.592 1915 8 NaN NaN NaN NaN NaN NaN 16.276 0.520 1915 9 NaN NaN NaN NaN NaN NaN 8.747 -2.070 1915 10 NaN NaN NaN NaN NaN NaN 6.342 1.665 1915 11 NaN NaN NaN NaN NaN NaN -3.413 -0.361 1915 12 NaN NaN NaN NaN NaN NaN -8.691 -0.376 1916 1 NaN NaN NaN NaN NaN NaN -13.742 -3.872 1916 2 NaN NaN NaN NaN NaN NaN -5.945 1.033 1916 3 NaN NaN NaN NaN NaN NaN -1.831 1.991 1916 4 NaN NaN NaN NaN NaN NaN 2.882 0.574 1916 5 NaN NaN NaN NaN NaN NaN 4.912 -3.263 1916 6 NaN NaN NaN NaN NaN NaN 9.940 -2.582 1916 7 18.837 0.175 0 0 16.960 -1.702 16.572 -0.317 1916 8 18.224 0.695 0 0 16.347 -1.182 14.713 -1.043 1916 9 13.768 1.179 0 0 11.892 -0.698 9.667 -1.150 1916 10 8.169 1.719 0 0 6.293 -0.158 3.138 -1.539 1916 11 -0.182 1.098 0 0 -2.058 -0.779 -6.304 -3.251 1916 12 -8.613 -2.071 0 0 -10.490 -3.948 -12.032 -3.717 1917 1 -11.129 -3.032 0 0 -13.006 -4.909 -13.797 -3.927 1917 2 -7.246 -2.041 0 0 -9.123 -3.917 -8.860 -1.881 1917 3 -8.147 -6.098 0 4 -6.385 -4.337 -9.826 -6.005 1917 4 0.337 -3.744 0 0 2.098 -1.983 -0.938 -3.246 1917 5 7.315 -2.634 0 0 9.076 -0.873 6.060 -2.115 1917 6 10.972 -3.324 0 0 12.733 -1.563 10.141 -2.382 1917 7 14.799 -3.864 0 0 16.560 -2.102 18.096 1.207 1917 8 12.377 -5.152 0 0 14.138 -3.391 14.912 -0.844 1917 9 11.288 -1.301 0 0 13.050 0.460 11.503 0.686 1917 10 2.371 -4.079 0 0 4.132 -2.318 4.697 0.020 1917 11 -0.111 1.168 0 0 1.650 2.929 0.482 3.534 1917 12 -2.597 3.945 0 0 -0.835 5.706 -2.685 5.630 1918 1 -10.090 -1.993 0 0 -8.329 -0.232 -8.911 0.959 1918 2 -7.664 -2.458 0 0 -5.903 -0.697 -8.424 -1.445 1918 3 -1.882 0.167 0 0 -0.121 1.928 -2.628 1.194 1918 4 2.452 -1.629 0 0 4.213 0.132 0.759 -1.549 1918 5 6.026 -3.923 0 0 7.787 -2.161 6.620 -1.555 1918 6 14.863 0.568 0 0 16.625 2.329 15.073 2.551 1918 7 13.919 -4.743 0 0 15.681 -2.982 16.189 -0.700 1918 8 11.265 -6.264 0 0 13.026 -4.503 13.592 -2.163 1918 9 13.731 1.141 1 0 NaN NaN 10.932 0.116 1918 10 8.205 1.754 0 0 9.966 3.516 6.724 2.047 1918 11 0.998 2.278 0 0 2.760 4.039 -4.137 -1.085 1918 12 -7.055 -0.513 0 0 -5.293 1.249 -8.488 -0.174 1919 1 -8.345 -0.248 0 0 -6.584 1.513 -8.487 1.383 1919 2 -5.457 -0.251 0 4 -5.914 -0.708 -7.558 -0.579 1919 3 -2.416 -0.367 1 0 NaN NaN -4.313 -0.491 1919 4 4.939 0.858 1 0 NaN NaN 3.375 1.068 1919 5 10.345 0.397 0 0 9.889 -0.060 9.078 0.902 1919 6 15.077 0.781 0 0 14.620 0.325 13.818 1.295 1919 7 18.760 0.097 0 0 18.303 -0.359 18.403 1.514 1919 8 17.153 -0.376 0 0 16.697 -0.832 16.438 0.682 1919 9 14.570 1.980 0 0 14.114 1.524 11.353 0.536 1919 10 3.200 -3.250 0 0 2.744 -3.707 0.662 -4.015 1919 11 -2.147 -0.867 0 0 -2.603 -1.324 -5.577 -2.524 1919 12 -7.819 -1.278 0 0 -8.276 -1.734 -12.057 -3.743 1920 1 -5.668 2.429 0 0 -6.124 1.973 -8.067 1.803 1920 2 NaN NaN NaN NaN NaN NaN -6.328 0.651 1920 3 -2.546 -0.497 0 0 -3.002 -0.953 -5.955 -2.133 1920 4 0.908 -3.173 0 0 0.451 -3.629 -1.128 -3.436 1920 5 8.026 -1.923 0 0 7.569 -2.379 6.704 -1.471 1920 6 12.065 -2.231 0 0 11.609 -2.687 10.609 -1.913 1920 7 18.706 0.044 0 0 18.250 -0.413 17.193 0.303 1920 8 16.455 -1.074 0 0 15.998 -1.531 15.125 -0.631 1920 9 12.532 -0.058 0 0 12.075 -0.514 9.717 -1.099 1920 10 4.902 -1.549 0 0 4.445 -2.005 3.434 -1.244 1920 11 -0.667 0.612 0 0 -1.123 0.156 -4.177 -1.125 1920 12 -4.813 1.729 0 0 -5.269 1.272 -8.335 -0.020 1921 1 NaN NaN NaN NaN NaN NaN -8.263 1.607 1921 2 -4.693 0.513 0 0 -5.149 0.057 -6.277 0.702 1921 3 1.069 3.118 0 0 0.613 2.662 -2.334 1.488 1921 4 3.400 -0.681 0 0 2.944 -1.137 0.548 -1.759 1921 5 10.389 0.440 0 0 9.932 -0.016 8.290 0.114 1921 6 16.157 1.861 0 0 15.700 1.405 13.510 0.987 1921 7 18.492 -0.171 0 0 18.035 -0.627 17.392 0.503 1921 8 17.024 -0.505 0 0 16.568 -0.961 15.591 -0.165 1921 9 10.593 -1.996 0 0 10.137 -2.453 7.879 -2.938 1921 10 9.179 2.729 0 0 8.723 2.272 7.140 2.462 1921 11 1.975 3.254 0 0 1.519 2.798 -0.911 2.141 1921 12 -3.698 2.843 0 0 -4.155 2.387 -7.510 0.805 1922 1 -10.010 -1.913 0 0 -10.466 -2.369 -14.233 -4.363 1922 2 -7.950 -2.744 0 0 -8.406 -3.201 -10.590 -3.611 1922 3 -3.571 -1.522 0 0 -4.028 -1.979 -6.888 -3.066 1922 4 2.337 -1.744 0 0 1.880 -2.201 -0.543 -2.850 1922 5 8.068 -1.881 0 0 7.611 -2.337 7.361 -0.814 1922 6 14.792 0.496 0 0 14.335 0.040 13.468 0.946 1922 7 17.347 -1.316 0 0 16.890 -1.772 16.272 -0.617 1922 8 17.897 0.368 0 0 17.440 -0.089 16.542 0.786 1922 9 13.727 1.137 0 0 13.270 0.681 11.862 1.045 1922 10 8.719 2.269 0 0 8.263 1.812 6.571 1.894 1922 11 -1.058 0.221 0 0 -1.515 -0.236 -4.372 -1.320 1922 12 -4.056 2.486 1 0 NaN NaN -9.206 -0.891 1923 1 -5.545 2.552 1 0 NaN NaN -7.595 2.275 1923 2 NaN NaN NaN NaN NaN NaN -10.796 -3.817 1923 3 NaN NaN NaN NaN NaN NaN -7.617 -3.795 1923 4 NaN NaN NaN NaN NaN NaN 1.408 -0.900 1923 5 8.898 -1.050 0 0 8.442 -1.507 7.926 -0.249 1923 6 13.091 -1.205 1 0 NaN NaN 10.181 -2.341 1923 7 NaN NaN NaN NaN NaN NaN 17.994 1.104 1923 8 15.605 -1.924 1 0 NaN NaN 14.983 -0.773 1923 9 11.977 -0.613 1 0 NaN NaN 11.075 0.258 1923 10 5.838 -0.613 1 0 NaN NaN 3.066 -1.611 1923 11 0.915 2.194 1 0 NaN NaN -1.675 1.378 1923 12 NaN NaN NaN NaN NaN NaN -10.515 -2.200 1924 1 -10.430 -2.333 0 0 -10.886 -2.789 -12.060 -2.190 1924 2 NaN NaN NaN NaN NaN NaN -3.968 3.011 1924 3 NaN NaN NaN NaN NaN NaN -6.393 -2.571 1924 4 4.189 0.108 0 0 3.733 -0.348 1.578 -0.730 1924 5 11.372 1.423 0 0 10.916 0.967 9.003 0.828 1924 6 12.655 -1.641 1 0 NaN NaN 11.225 -1.297 1924 7 18.189 -0.474 0 0 17.732 -0.930 16.215 -0.675 1924 8 17.032 -0.497 1 0 NaN NaN 15.036 -0.720 1924 9 11.059 -1.531 0 0 10.603 -1.987 9.989 -0.828 1924 10 7.362 0.912 0 0 6.906 0.455 4.668 -0.009 1924 11 -0.331 0.948 1 0 NaN NaN -4.125 -1.072 1924 12 -10.886 -4.345 0 0 -11.343 -4.801 -12.986 -4.671 1925 1 -6.720 1.377 0 0 -7.176 0.921 -8.769 1.101 1925 2 -1.590 3.616 1 0 NaN NaN -3.698 3.281 1925 3 -0.035 2.014 0 0 -0.491 1.558 -2.937 0.885 1925 4 5.022 0.941 1 0 NaN NaN 3.645 1.337 1925 5 NaN NaN NaN NaN NaN NaN 9.661 1.485 1925 6 NaN NaN NaN NaN NaN NaN 10.977 -1.545 1925 7 NaN NaN NaN NaN NaN NaN 17.539 0.650 1925 8 NaN NaN NaN NaN NaN NaN 14.414 -1.342 1925 9 14.934 2.344 1 0 NaN NaN 10.041 -0.775 1925 10 NaN NaN NaN NaN NaN NaN 3.005 -1.673 1925 11 NaN NaN NaN NaN NaN NaN -3.185 -0.133 1925 12 NaN NaN NaN NaN NaN NaN -5.370 2.945 1926 1 NaN NaN NaN NaN NaN NaN -9.868 0.003 1926 2 NaN NaN NaN NaN NaN NaN -3.919 3.060 1926 3 NaN NaN NaN NaN NaN NaN -3.087 0.734 1926 4 NaN NaN NaN NaN NaN NaN 5.370 3.062 1926 5 NaN NaN NaN NaN NaN NaN 9.352 1.177 1926 6 NaN NaN NaN NaN NaN NaN 13.518 0.995 1926 7 NaN NaN NaN NaN NaN NaN 17.854 0.964 1926 8 NaN NaN NaN NaN NaN NaN 15.751 -0.005 1926 9 NaN NaN NaN NaN NaN NaN 7.393 -3.424